2027 Quantitative Researcher – Graduate (DV QES)
A graduate researcher seat in DV Equities, the Asia-Pacific equities and futures market-making business of DV Trading. You would build predictive signals on market data alongside senior researchers and traders.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Explore orderbook and market data for predictive patterns
- Build and backtest signals using tree-based models
- Maintain data pipelines for high-frequency time-series
- Monitor live strategy performance and refine models
What they ask for
Required
- Final-year student in a quantitative field due to graduate by summer 2027
- Strong Python
- Probability and statistics foundation
- Interest in market microstructure
- Fast learner under pressure
- Strong problem solving
Preferred
- SQL, statistical modelling or C++
- Prior trading, research or data analysis internship
- Education
- Bachelor's, Master's or PhD in maths, statistics, economics, CS, physics or engineering
- Experience
- New graduates (2027 cohort)
- Languages and tools
- Markets
- equities, futures
How to prepare
- Build a limit-order-book signal and test it with tree-based models
- Practise gradient boosting and feature importance on time-series
- Learn market-making and microstructure basics
- Strengthen probability for interviews
What to study
- Market Microstructure and Execution
- Financial Machine Learning
- Quantitative Research, Data and Backtesting
- Python for Quantitative Finance
The HFT Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on DV Trading’s site before applying: requirements, location and pay can change after we check them.
View the posting on DV Trading’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with DV Trading and doesn’t handle applications.